**About the team ** In our assurance practice, we pride ourselves on being ahead of the curve and making an impact. We not only help our clients to sleep at night, but we also empower our clients to get real business benefits. We pride our ourselves on our people-centred culture, client focussed approach and our ability to think differently.

This newly created role represents an exciting and high-profile opportunity for a driven, intrapreneurial and high-performing professional to support us in driving the growth of our credit risk and quantitative modelling team. The team focuses on complex quantitative credit risk model developments, validations, and monitoring for a variety of financial institutions (primarily banks and non-bank lenders). In addition, the team also focuses on upcoming regulatory and accounting changes and assisting clients on implementing or understanding the impacts of these changes on their credit risk models .   **What will your typical day look like? ** Specifically, you will:

• Assist in the delivery of credit risk related solutions and analytics
• Work with a highly driven team across a range of projects focused on risks that banks and other financial services companies are exposed too.
• Work effectively as a team member sharing responsibility, providing support, maintaining communication, and updating senior team members on progress.
• Utilise and develop your quantitative, problem solving, statistical, analytical and communication skills through model development and model validation engagements.
• Adopt a client-centred mindset.
• Understand the market landscape and disruptive trends and translate these to market-leading business opportunities

**Enough about us, let’s talk about you. ** We’re looking for someone with:  

• Degree qualified with a relevant statistical, actuarial, engineering, or mathematical degree. Professional qualifications or post-graduate degree in related fields is highly desirable
• A minimum of 3 years working experience in a consulting firm or at large financial institutions
• Have experience building, reviewing and validating credit risk models such as PD, LGD, EAD models for IFRS9 and Regulatory Capital purposes
• Expertise in field with financial services skills and a deep knowledge of the Regulatory and IFRS landscape
• Experience or curiosity to work in stress testing modelling (incl. climate related credit modelling)
• Self-starter, independent worker with the experience and ability to manage teams, including providing appropriate training and oversight over junior team members’ deliverables.
•  Confident and credible communicator, both oral and written.
• Knowledge and experience in any of the following software development environments is preferred: SAS, SQL, VBA, R, Python or C ++.
• Exceptional communication and relationship building skills, with a commitment to excellence and quality in delivery
• Exposure to ‘black box’ methodologies and techniques such as Machine Learning, Natural Language Processing, AI algorithms, etc. is desirable but not essential